Aisha is a consumer news reporter at TechCrunch. Prior to joining the publication in 2021, she was a telecom reporter at MobileSyrup. Aisha holds an honours bachelor’s degree from University of Toronto and a master’s degree in journalism from Western University.
English, RNNT with end-of-utterance detection
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谷歌旗下的“双子座”人工智能模型（Gemini）位居全球热搜榜首位。这款生成式模型自整合多项服务、优化用户对话交互以来，便备受关注。人工智能生成技术的持续突破引发了数百万人的好奇，使Gemini成为年度热门工具和热门搜索概念。对人工智能日常应用的痴迷以及对其能力边界的期待，主导了2025年初的搜索趋势，这标志着数字交互方式的一场变革。
But one of the staples of LFW is its inclusion of up-and-coming talent, and this year is no different, with the BFC setting up a new designer showcase for those who have previously taken part in their NewGen scheme.
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At the Lean FRO, Kim Morrison, a Senior Research Software Engineer, recently ran an experiment that went well beyond our expectations. An AI agent converted zlib, a widely used C compression library embedded in countless systems, to Lean, with minimal human guidance. No special tooling was built. It was Claude, a general-purpose AI, with no special training for theorem proving, out of the box. The workflow had four steps. First, the AI produced a clean, readable Lean implementation of the zlib compression format, including the DEFLATE algorithm at its core. Second, the Lean version passed the library’s existing test suite, confirming behavioral equivalence. Third, key properties were stated and proved, not as tests, but as mathematical theorems. The capstone theorem: